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UJI X1 HARGA UJI X2 KUALITAS PRODUK

C. UJI X2 KUALITAS PRODUK

Correlations Q1 Q2 Q3 Q4 Q5 TOTAL Q1 Pearson Correlation 1 ,551 ,564 ,350 ,419 ,782 Sig. 2-tailed ,000 ,000 ,000 ,000 ,000 N 100 100 100 100 100 100 Q2 Pearson Correlation ,551 1 ,433 ,591 ,324 ,795 Sig. 2-tailed ,000 ,000 ,000 ,001 ,000 N 100 100 100 100 100 100 Q3 Pearson Correlation ,564 ,433 1 ,242 ,365 ,702 Sig. 2-tailed ,000 ,000 ,015 ,000 ,000 N 100 100 100 100 100 100 Q4 Pearson Correlation ,350 ,591 ,242 1 ,334 ,704 Sig. 2-tailed ,000 ,000 ,015 ,001 ,000 N 100 100 100 100 100 100 Q5 Pearson Correlation ,419 ,324 ,365 ,334 1 ,670 Sig. 2-tailed ,000 ,001 ,000 ,001 ,000 N 100 100 100 100 100 100 TOTAL Pearson Correlation ,782 ,795 ,702 ,704 ,670 1 Sig. 2-tailed ,000 ,000 ,000 ,000 ,000 N 100 100 100 100 100 100 . Correlation is significant at the 0.01 level 2-tailed. . Correlation is significant at the 0.05 level 2-tailed. Reliability Statistics Cronbachs Alpha N of Items ,780 5

D. UJI X3 PELAYANAN

Correlations Q1 Q2 Q3 Q4 Q5 TOTAL Q1 Pearson Correlation 1 ,581 ,318 ,265 ,313 ,751 Sig. 2-tailed ,000 ,001 ,008 ,002 ,000 N 100 100 100 100 100 100 Q2 Pearson Correlation ,581 1 ,395 ,260 ,165 ,721 Sig. 2-tailed ,000 ,000 ,009 ,100 ,000 N 100 100 100 100 100 100 Q3 Pearson Correlation ,318 ,395 1 ,222 ,225 ,652 Sig. 2-tailed ,001 ,000 ,027 ,024 ,000 N 100 100 100 100 100 100 Q4 Pearson Correlation ,265 ,260 ,222 1 ,301 ,619 Sig. 2-tailed ,008 ,009 ,027 ,002 ,000 N 100 100 100 100 100 100 Q5 Pearson Correlation ,313 ,165 ,225 ,301 1 ,588 Sig. 2-tailed ,002 ,100 ,024 ,002 ,000 N 100 100 100 100 100 100 TOTAL Pearson Correlation ,751 ,721 ,652 ,619 ,588 1 Sig. 2-tailed ,000 ,000 ,000 ,000 ,000 N 100 100 100 100 100 100 . Correlation is significant at the 0.01 level 2-tailed. . Correlation is significant at the 0.05 level 2-tailed. Reliability Statistics Cronbachs Alpha N of Items ,687 5 HASIL REGRESI A. R-SQUARE Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate Durbin-Watson 1 ,763 a ,582 ,569 1,91354 1,824 a. Predictors: Constant, X3, X2, X1 b. Dependent Variable: Y

B. UJI F

ANOVA a Model Sum of Squares df Mean Square F Sig. 1 Regression 489,394 3 163,131 44,552 ,000 b Residual 351,516 96 3,662 Total 840,910 99 a. Dependent Variable: Y b. Predictors: Constant, X3, X2, X1

C. UJI T

Coefficients a Model Unstandardized Coefficients Standardized Coefficients t Sig. Collinearity Statistics B Std. Error Beta Tolerance VIF 1 Constant 1,150 1,473 ,781 ,437 X1 ,444 ,107 ,397 4,136 ,000 ,473 2,115 X2 ,188 ,087 ,197 2,165 ,033 ,525 1,904 X3 ,288 ,101 ,272 2,841 ,005 ,477 2,098 a. Dependent Variable: Y

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